Dynamic Monitoring of Urban Land Use Changes Based on Multi-Temporal Landsat Data——A Case Study of Shanghai

In recent years, due to the rapid economic development in Shanghai, urban land use increased dramatically. Using multi-temporal remote sensing images, urbanization could be monitored dynamically and quantitatively. This paper adopted the parallelepiped classification, minimum distance classification, maximum likelihood classification method to classify and compare the Landsat5 remote sensing image of Shanghai in 2002 and 2009, and found that the accuracy of maximum likelihood classification was the highest method. Based on the analysis of land use type transfer matrix obtained by ENVI, it could be found that the Land use in Shanghai had undergone significant changes, urban land area increased dramatically, cultivated land area decreased rapidly. A large amount of cultivated land had been transferred to urban land, which was not reversible, other type land had not transferred to the cultivated land. The expansion of urban land use in Shanghai was not different in quantity, but also in dimensional.